An adaptive electronic menu system for restaurants

Paulo Henrique Azevedo Filho, Wolfgang Wörndl

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

This work shows the early stages of the development of a collaborative-filtering-inspired adaptive system to streamline the ordering process at restaurants that use electronic menu systems. Among other results, the proposed system achieved a reduction of the session duration, while increasing feedback given by restaurant guests.

Original languageEnglish
Pages (from-to)41-44
Number of pages4
JournalCEUR Workshop Proceedings
Volume1438
StatePublished - 2015
EventJoint Workshop on Interfaces and Human Decision Making for Recommender Systems, INTRS 2015 - In conjunction with the 9th ACM Conference on Recommender Systems, RECSYS 2015 - Vienna, Austria
Duration: 19 Sep 2015 → …

Keywords

  • Adaptive
  • Collaborative-filtering
  • Electronic menu
  • Recommender systems
  • Target variable

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